A new algorithm for voltage clamp by iteration: A learning control of a nonlinear neuronal system

DOI10.1007/BF00355690zbMath0573.92011OpenAlexW2063556336WikidataQ51658923 ScholiaQ51658923MaRDI QIDQ1062936

Mitsuo Kawato, Manabu Etoh, Nakaakira Tsukahara, Yoichi Oda

Publication date: 1985

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00355690

zbMATH Keywords

learning controlnew algorithmcentral neuronsmembrane of squid giant axonnonlinear neuronal systemrubrospinal neuronsvoltage clamp by iteration

Mathematics Subject Classification ID

Algorithms for approximation of functions (65D15) Physiological, cellular and medical topics (92Cxx)

Related Items (1)

Coordinates transformation and learning control for visually-guided voluntary movement with iteration: A Newton-like method in a function space

Cites Work

• On Newton-like methods

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